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M. D. Beynon, R. Ferreira, A. Afework, and G. K. Mohan. Performance evaluation of client-server architectures for large-scale image-processing applications. Technical Report CS-TR-3970 and UMIACS-TR-98-17, University of Maryland, College Park, MD, USA, December 1997.

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Performance Impact of Proxies in Data Intensive.. - Beynon, Sussman, Saltz (1999)   (1 citation)  Self-citation (Beynon)   (Correct)

....trained pathologists using the system. The user examined several slides, thoroughly searching each slide for any abnormality, as they would with a real microscope. We performed tracing for several sessions, and derived an abstract model of user behavior. We present highlights of the detailed model [4] here. Zoom P(400X) P(200X) P(100X) P(50X) 400X 0.65 0.35 0.00 0.00 200X 0.02 0.68 0.18 0.12 100X 0.00 0.05 0.50 0.45 50X 0.15 0.04 0.08 0.73 (a) Choose next magnification Zoom P(3MB) P(300KB) 400X 0.99 0.01 200X 0.99 0.01 100X 0.92 0.08 50X 0.70 0.30 (b) Choose next request size ....

....request size, based on the current. Similarly, magnification also worked well as a predictor for inter request time, also known as think time. 4 SIMULATION We simulated the system to quantify the potential benefits of using a proxy. Here we present highlights of a more complete simulation study [4]. 0 120 240 360 480 600 720 0 5 10 15 20 25 30 Response Time Number of Clients No Proxy 0 Hit 25 Hit 50 Hit 75 Hit 100 Hit (a) Large Replies (3MB) 0 120 240 360 480 600 720 0 5 10 15 20 25 30 Response Time Number of Clients No Proxy 0 Hit 25 Hit 50 Hit 75 ....

M. D. Beynon, R. Ferreira, A. Afework, and G. K. Mohan. Performance evaluation of client-server architectures for large-scale image-processing applications. Technical Report CS-TR-3970 and UMIACS-TR-98-17, University of Maryland, College Park, MD, USA, December 1997.


Performance Impact of Proxies in Data Intensive.. - Beynon, Sussman, Saltz (1998)   (1 citation)  Self-citation (Beynon)   (Correct)

....the inter request times. Instead, we randomly choose values from a histogram of the values in the traces. 4 Simulation We simulated the system to validate our hypotheses and to quantify the potential benefits of using a proxy. Here we present highlights of a more complete simulation study [5]. We are interested in determining the number of clients that can be supported at varying quality of service levels. To this end, we instrumented the Virtual Microscope client and server as well as prototype of the proxy. From the resulting execution traces on a server with a single backend ....

Michael D. Beynon. Performance evaluation of client-server architectures for large-scale image-processing applications. Virtual Microscope (to be assigned a University of Maryland TR#), University of Maryland, College Park, May 1998.

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